Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Lead Data Scientist with 5+ years in Machine Learning, AI & Cloud Platforms
Seasoned Data Scientist with a strong foundation in analytics, machine learning, and data-driven problem solving across the Insurance sector. Proficient in using Python, SQL, SAS, Power BI and cloud platforms like Azure to build advanced models for fraud detection, claims auto adjudication, customer segmentation, prediction systems, and AI-driven solutions. Expertise in ETL pipelines, data ingestion, feature engineering, feature selection, model optimization, dashboard creation, and Generative AI tools with a strong focus on translating business needs into data-driven strategies. Strong understanding of machine learning concepts including bagging, boosting, precision-recall optimization, and F1-score evaluation metrics, Time series analysis , IOT . Experienced in modular Python project structures, clean coding practices, testing, typing, data validation, and collaborative Git workflows. Certified Azure Data Scientist with proven client interaction and stakeholder management experience.
Guru Gobind Singh Indraprastha University
B.Voc Computer Application · Computer Application
August 1, 2016 – June 30, 2019
MetLife – Global Analytics and Research Center (GOSC)
Data Scientist
January 1, 2024 – Present
Hyderābād, Telangana, India
Nokia on behalf of Niscom Tele Infra Pvt. Ltd.
Software Engineer - Data Analytics
July 1, 2021 – December 1, 2023
India
Image Search Tool
January 1, 2024 – June 1, 2026
Create a fast Image search tool using RAG framework , used transformer embeddding to understand embeddings , LlaVA to generate text from images and FAISS for fast similarity search
Fraud Detection Tool
January 1, 2024 – June 1, 2026
Create Classification model for Fraud Detection , leading to 15% automation
Recommendation Model
January 1, 2024 – June 1, 2026
Build a ML model that will make the service call preparation faster and more engaging for the clients , blend several algorithms like Classfication , filtering , ranking similarity search , Time series analysis and GenAI to create personalized context and insights for each client
Certified Azure Data Scientist
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from fraud detection to recommendation systems and image search, indicates adaptability and a broad interest in data science applications. Their experience in both a large enterprise (MetLife) and a consulting-like role (Nokia on behalf of Niscom) suggests an ability to work in different organizational cultures. The focus on delivering business value and automation aligns well with a results-oriented culture. However, the lack of explicit team collaboration examples beyond 'collaborated directly with clients' makes it difficult to fully assess team-centric cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project descriptions, particularly in applying diverse ML algorithms to complex business problems. Their experience in client collaboration and adherence to software engineering best practices suggests good operational fit and ability to work within a team. The emphasis on clean code and Git workflows indicates a structured approach to development.